{
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  "Package": "ipft",
  "Type": "Package",
  "Title": "Indoor Positioning Fingerprinting Toolset",
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  "Authors@R": "c(\nperson(\"Emilio\", \"Sansano\", email = \"esansano@uji.es\", role = c(\"aut\", \"cre\")),\nperson(\"Raúl\", \"Montoliu\", email = \"montoliu@uji.es\", role = \"ctb\"))",
  "Maintainer": "Emilio Sansano <esansano@uji.es>",
  "Description": "Algorithms and utility functions for indoor positioning\nusing fingerprinting techniques. These functions are designed\nfor manipulation of RSSI (Received Signal Strength Intensity)\ndata sets, estimation of positions,comparison of the\nperformance of different models, and graphical visualization of\ndata. Machine learning algorithms and methods such as k-nearest\nneighbors or probabilistic fingerprinting are implemented in\nthis package to perform analysis and estimations over RSSI data\nsets.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "Packaged": {
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  "Author": "Emilio Sansano [aut, cre], Raúl Montoliu [ctb]",
  "Repository": "https://esansano.r-universe.dev",
  "Date/Publication": "2026-02-10 15:00:02 UTC",
  "RemoteUrl": "https://github.com/cran/ipft",
  "RemoteRef": "HEAD",
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  "_published": "2026-06-10T07:44:49.475Z",
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      "title": "Distance function",
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      "page": "ipfEstimate",
      "title": "Estimates the location of the test observations",
      "topics": [
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    },
    {
      "page": "ipfEstimateBeaconPositions",
      "title": "Estimates the positions of the emitter beacons",
      "topics": [
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      "page": "ipfGroup",
      "title": "Creates groups based on the specified parameters",
      "topics": [
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      ]
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    {
      "page": "ipfKnn",
      "title": "Implements the k-nearest neighbors algorithm",
      "topics": [
        "ipfKnn"
      ]
    },
    {
      "page": "ipfPlotEcdf",
      "title": "Plots the cumulative distribution function of the estimated error",
      "topics": [
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    },
    {
      "page": "ipfPlotEstimation",
      "title": "Plots the estimated locations",
      "topics": [
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    },
    {
      "page": "ipfPlotLocation",
      "title": "Plots the spatial location of the observations",
      "topics": [
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      ]
    },
    {
      "page": "ipfPlotPdf",
      "title": "Plots the probability density function of the estimated error",
      "topics": [
        "ipfPlotPdf"
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    },
    {
      "page": "ipfProbabilistic",
      "title": "This function implements a probabilistic algorithm",
      "topics": [
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    },
    {
      "page": "ipfProximity",
      "title": "Estimates the position of the observations from its fingerprints and the access point location usins a logarithmic path loss model",
      "topics": [
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      ]
    },
    {
      "page": "ipfpwap",
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      "topics": [
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    },
    {
      "page": "ipfRMID",
      "title": "Estimates the inherent difficulty of the radio map",
      "topics": [
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    },
    {
      "page": "ipftest",
      "title": "Indoor localization test data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016).",
      "topics": [
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      "title": "Indoor localization training data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016).",
      "topics": [
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    {
      "page": "ipfTransform",
      "title": "Transform function",
      "topics": [
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